Simulating air temperature in an urban street canyon in all weather conditions using measured data at a reference meteorological station

E. Erell, T. Williamson

    Research output: Contribution to journalArticlepeer-review

    98 Scopus citations

    Abstract

    A model is proposed that adapts data from a standard meteorological station to provide realistic site-specific air temperature in a city street exposed to the same meso-scale environment. In addition to a rudimentary description of the two sites, the canyon air temperature (CAT) model requires only inputs measured at standard weather stations; yet it is capable of accurately predicting the evolution of air temperature in all weather conditions for extended periods. It simulates the effect of urban geometry on radiant exchange; the effect of moisture availability on latent heat flux; energy stored in the ground and in building surfaces; air flow in the street based on wind above roof height; and the sensible heat flux from individual surfaces and from the street canyon as a whole. The CAT model has been tested on field data measured in a monitoring program carried out in Adelaide, Australia, in 2000-2001. After calibrating the model, predicted air temperature correlated well with measured data in all weather conditions over extended periods. The experimental validation provides additional evidence in support of a number of parameterisation schemes incorporated in the model to account for sensible heat and storage flux.

    Original languageEnglish
    Pages (from-to)1671-1694
    Number of pages24
    JournalInternational Journal of Climatology
    Volume26
    Issue number12
    DOIs
    StatePublished - 1 Oct 2006

    Keywords

    • Climate modelling
    • Microclimate
    • Urban canyon
    • Weather stations

    ASJC Scopus subject areas

    • Atmospheric Science

    Fingerprint

    Dive into the research topics of 'Simulating air temperature in an urban street canyon in all weather conditions using measured data at a reference meteorological station'. Together they form a unique fingerprint.

    Cite this